Importance of demand modelling in network water quality models: a review

Author:

Blokker E. J. M.,Vreeburg J. H. G.,Buchberger S. G.,van Dijk J. C.

Abstract

Abstract. Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological) contaminant propagation; for particulate substances it is in sediment leading to discolouration. There is a strong influence of flows and velocities on transport, mixing, production and decay of these substances in the network. This imposes a different approach to demand modelling which is reviewed in this article. For the large diameter lines that comprise the transport portion of a typical municipal pipe system, a skeletonised network model with a top-down approach of demand pattern allocation, a hydraulic time step of 1 h, and a pure advection-reaction water quality model will usually suffice. For the smaller diameter lines that comprise the distribution portion of a municipal pipe system, an all-pipes network model with a bottom-up approach of demand pattern allocation, a hydraulic time step of 1 min or less, and a water quality model that considers dispersion and transients may be needed. Demand models that provide stochastic residential demands per individual home and on a one-second time scale are available. A stochastic demands based network water quality model needs to be developed and validated with field measurements. Such a model will be probabilistic in nature and will offer a new perspective for assessing water quality in the drinking water distribution system.

Publisher

Copernicus GmbH

Subject

Pollution,Water Science and Technology,Civil and Structural Engineering

Reference50 articles.

1. Alcocer-Yamanaka, V. H., Tzatchkov, V. G., and Buchberger, S. G.: Instantaneous water demand parameter estimation from coarse meter readings, Water Distribution System Analysis #8., Cincinnati, Ohio, USA, 2006, 2006.

2. Alvisi, S., Franchini, M., and Marinelli, A.: A Stochastic Model for Representing Drinking Water Demand at Residential Level, Water Resour. Manag., 17, 197–222, 2003.

3. Austin, R. G., Waanders, B. v. B., McKenna, S., and Choi, C. Y.: Mixing at cross junctions in water distribution systems. II: experimental study, J. Water Res. Pl.-Asce, 134, 295–302, 2008.

4. Babayan, A. V., Savic, D. A., and Walters, G. A.: Multiobjective optimization for the least-cost design of water distribution system under correlated uncertain parameters, Impacts of Global Climate Change; 2005 World water and environmental resources congress, Anchorage, Alaska, 2005.

5. Blokker, E. J. M.: Determining the capacity of drinking water distribution systems at street level, Kiwa N. V., Nieuwegein, 2005 (in Dutch).

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3